Founder & CTO @ Hirify | Machine Learning Engineer | Full-Stack Developer

Building the future of intelligent recruitment technology

I'm a 25-year-old entrepreneur and engineer passionate about revolutionizing the HR tech landscape through AI innovation. As Founder & CTO of Hirify, I'm building an intelligent recruitment platform that transforms interview processes into strategic hiring decisions. Recently returned from an enriching year-long journey through Eastern Europe, I bring a global perspective to technology and innovation.

May 2024 - Present | Lyon, France

Building a modular AI-powered SaaS platform that revolutionizes recruitment processes:

• 🎤 Smart Interview Transcription: Developing advanced NLP systems with 95%+ accuracy for real-time interview transcription and analysis
• 📊 Standardized Evaluation Engine: Creating intelligent assessment frameworks that eliminate hiring bias and improve decision quality
• 🧠 Adaptive Interview Guides: Building dynamic interview systems that adapt to candidate responses and role requirements
• ⚡ MLOps Pipeline: Architecting scalable ML infrastructure for training and deploying Speech-to-Text models

Key Achievements:

• Built and leading a lean tech team within Teamwork Cellule Innovation startup studio
• Partnering with HR experts and recruitment agencies for domain expertise
• Developing proprietary audio annotation tools for STT model training

Tech Stack: Python, FastAPI, Vue.js/Nuxt.js, PostgreSQL, Docker, TensorFlow, PyTorch, NLP/STT technologies

April 2022 - November 2024 | Lyon, France

• AI Research & Development: Led groundbreaking research on Large Language Models (LLMs) for automated news summarization and content intelligence
• Production ML Systems: Deployed NER, classification, and coreference resolution models serving thousands of daily requests
• SaaS Architecture: Built comprehensive data search solutions with Vue.js and Express.js
• ML Pipeline Engineering: Designed automated training pipelines reducing deployment time by 40%

September 2020 - March 2022 | Lyon, France

• IoT Platform Development: Architected complete SaaS solution for IoT fleet management handling 10,000+ connected devices
• Frontend Leadership: Led React and TypeScript development for complex data visualization dashboards
• System Architecture: Built robust backend systems with Python and Flask ensuring 99.9% uptime
• Team Leadership: Implemented Agile methodologies improving team velocity by 30%

Master's Degree in Computer Science - Machine Learning Specialization
Epitech, 2023

Relevant Coursework: Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning

Speech Recognition • Natural Language Processing • Deep Learning
TensorFlow • PyTorch • scikit-learn • Transformers • spaCy
MLOps • Model Deployment • Audio Processing • STT/ASR

Frontend: Vue.js • Nuxt.js • React.js • TypeScript • HTML5 • CSS3
Backend: Python • FastAPI • Flask • Node.js • Express.js
Databases: PostgreSQL • MongoDB • SQLite

Docker • CI/CD • Git • Cloud Platforms • Microservices
API Design • Agile Methodologies • System Architecture

AI-powered recruitment SaaS transforming interview processes into strategic hiring decisions

• Innovation: Modular architecture with transcription, evaluation, and guidance systems
• Impact: Saving 2-3 hours per interview while improving hiring quality
• Scale: Designed for enterprise recruitment teams with real-time processing

Professional-grade tools for creating high-quality Speech-to-Text training datasets

• Tech Stack: Python, FastAPI, VueJs, Audio Processing Libraries
• Purpose: Enabling precise STT model training with time-aligned transcriptions
• Features: Multi-tier annotation, quality control, dataset export compatibility

Advanced SaaS combining traditional search with AI-powered semantic understanding

• Achievement: 60% improvement in search relevance through vector databases
• Tech Stack: Vue.js, Express.js, Python, QDrant, NLP models

Real-time monitoring system for distributed IoT devices

• Scale: Successfully managing 10,000+ connected devices
• Tech Stack: React, TypeScript, Python, Flask, PostgreSQL

• Innovation-First: Constantly pushing the boundaries of AI applications in HR tech
• Data-Driven: Building solutions that transform subjective processes into objective insights
• Global Perspective: Bringing international experience and cultural awareness to technology
• Ethical AI: Developing responsible AI that reduces bias and improves fairness in hiring

I'm always excited to discuss the future of AI in recruitment, share insights about building ML-powered SaaS platforms, or explore collaboration opportunities. Whether you're working on cutting-edge AI research, building the next generation of HR tech, or scaling intelligent systems, let's connect!

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